Data Architect Jobs at NVIDIA with Visa Sponsorship
Data Architect jobs at NVIDIA sit at the intersection of large-scale AI infrastructure and enterprise data strategy. The company has a consistent track record of sponsoring international talent for this function, supporting candidates through the full visa and permanent residence process.
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Get Access To All JobsINTRODUCTION
Imagine shaping the future of AI and computing at one of the most innovative companies in the world. At NVIDIA, we are redefining industries with our groundbreaking advancements in High-Performance Computing, Artificial Intelligence, and Visualization. Our GPUs, the visual cortex of modern computers, are at the core of revolutionary technologies from AI to autonomous vehicles. Join us in pushing the boundaries of what's possible, enabling extraordinary creativity and discovery, and turning science fiction into reality. We are seeking visionary computer architects to design and develop models for the next generation of GPU-accelerated datacenters.
ROLE AND RESPONSIBILITIES
Guiding the fundamental software design, architecture, and implementation of cost and power modeling of datacenter-scale accelerated computing platforms
Evangelizing modern software architecture design patterns and tools, including AI-driven solutions, to accelerate development, enhance performance, and improve code quality across the team
Implementing industry-leading software and dev-ops best practices tailored for rapidly growing teams, fostering a culture of continuous improvement and innovation
Making hands-on and significant contributions to a business-critical codebase, directly impacting the future of high-performance computing and AI technologies
BASIC QUALIFICATIONS
Bachelors degree in Computer Science, Computer Engineering, Electrical Engineering or related fields or equivalent experience (MS preferred)
8+ years of experience in systems architecture and modeling, especially performance, power, or cost modeling of distributed systems
Exceptional programming skills in Python, accompanied by strong mathematical and analytical skills
Excellent interpersonal skills with success contributing to projects within multi-discipline teams
* Proven track record of contributions to scaled Python-based software projects
PREFERRED QUALIFICATIONS
Experience with accelerated server architecture design and deployment, especially up to hyperscale
Background in parallel computing, server architecture, or datacenter design
An excitement and curiosity about the future of accelerated computing and AI
Expertise in data analysis and visualization, especially pandas and associated technologies
* A love of technology and passion for your work!
COMPENSATION
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5. You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until January 13, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
JR2005861
INTRODUCTION
Imagine shaping the future of AI and computing at one of the most innovative companies in the world. At NVIDIA, we are redefining industries with our groundbreaking advancements in High-Performance Computing, Artificial Intelligence, and Visualization. Our GPUs, the visual cortex of modern computers, are at the core of revolutionary technologies from AI to autonomous vehicles. Join us in pushing the boundaries of what's possible, enabling extraordinary creativity and discovery, and turning science fiction into reality. We are seeking visionary computer architects to design and develop models for the next generation of GPU-accelerated datacenters.
ROLE AND RESPONSIBILITIES
Guiding the fundamental software design, architecture, and implementation of cost and power modeling of datacenter-scale accelerated computing platforms
Evangelizing modern software architecture design patterns and tools, including AI-driven solutions, to accelerate development, enhance performance, and improve code quality across the team
Implementing industry-leading software and dev-ops best practices tailored for rapidly growing teams, fostering a culture of continuous improvement and innovation
Making hands-on and significant contributions to a business-critical codebase, directly impacting the future of high-performance computing and AI technologies
BASIC QUALIFICATIONS
Bachelors degree in Computer Science, Computer Engineering, Electrical Engineering or related fields or equivalent experience (MS preferred)
8+ years of experience in systems architecture and modeling, especially performance, power, or cost modeling of distributed systems
Exceptional programming skills in Python, accompanied by strong mathematical and analytical skills
Excellent interpersonal skills with success contributing to projects within multi-discipline teams
* Proven track record of contributions to scaled Python-based software projects
PREFERRED QUALIFICATIONS
Experience with accelerated server architecture design and deployment, especially up to hyperscale
Background in parallel computing, server architecture, or datacenter design
An excitement and curiosity about the future of accelerated computing and AI
Expertise in data analysis and visualization, especially pandas and associated technologies
* A love of technology and passion for your work!
COMPENSATION
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5. You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until January 13, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
JR2005861
See all Data Architect Jobs at NVIDIA
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Get Access To All JobsTips for Finding Data Architect Jobs at NVIDIA
Align your portfolio to NVIDIA's data stack
NVIDIA's Data Architect hiring emphasizes experience with distributed data platforms, GPU-accelerated analytics, and cloud-native architectures. Tailor your portfolio to show hands-on work with these systems before you apply, not after an offer arrives.
Target roles flagged for specialty occupation
NVIDIA files Labor Condition Applications with the DOL before H-1B or E-3 petitions can proceed. Roles requiring a directly related degree in computer science, information systems, or data engineering carry the strongest specialty occupation argument, which simplifies your petition.
Clarify your visa category early in screening
NVIDIA sponsors both H-1B and E-3 visas for this function. If you're an Australian citizen, raise E-3 eligibility in your first recruiter conversation. E-3 has no lottery and can be filed any time of year, which removes the timing risk that complicates H-1B offers.
Prepare degree equivalency documentation in advance
USCIS scrutinizes specialty occupation claims closely for Data Architect petitions. If your degree title doesn't map cleanly to the role, gather a credential evaluation and collect employer letters documenting your specialized experience before your start date is set.
Track NVIDIA's open Data Architect roles on Migrate Mate
NVIDIA posts Data Architect positions across multiple teams and business units, and openings move quickly. Use Migrate Mate to filter specifically for NVIDIA roles that offer visa sponsorship so you're applying to confirmed opportunities, not guessing from a general jobs board.
Understand PERM timing if you want a Green Card
NVIDIA supports EB-2 and EB-3 sponsorship for Data Architects, but PERM labor certification runs on a separate timeline from your work visa. Ask your recruiter about the company's process for initiating PERM filings so you can plan your long-term status strategy before your first visa period expires.
Frequently Asked Questions
Does NVIDIA sponsor H-1B visas for Data Architects?
Yes, NVIDIA sponsors H-1B visas for Data Architect roles. The company has an established process for filing H-1B petitions, which requires your employer to submit a certified Labor Condition Application to the DOL before USCIS can approve the petition. Because H-1B is subject to an annual lottery, your offer timing relative to the April filing window matters for planning your start date.
How do I apply for Data Architect jobs at NVIDIA?
Applications go through NVIDIA's careers site, but finding roles that explicitly include visa sponsorship takes extra filtering. Migrate Mate aggregates NVIDIA's Data Architect openings and surfaces only positions where sponsorship is confirmed, which saves you from applying to roles where international candidates are screened out early. Tailor your resume to reflect experience with GPU-accelerated data systems and distributed architectures before submitting.
Which visa types does NVIDIA commonly use for Data Architects?
NVIDIA sponsors H-1B and E-3 visas for Data Architect positions, along with EB-2 and EB-3 Green Card pathways for longer-term sponsorship. E-3 visa is available exclusively to Australian citizens and bypasses the H-1B lottery entirely. For candidates already in the U.S. on another status, NVIDIA's immigration team typically coordinates the change of status or transfer process through an in-house or retained immigration counsel.
What qualifications does NVIDIA expect for Data Architect roles?
NVIDIA typically looks for a bachelor's or master's degree in computer science, data engineering, information systems, or a closely related field. Hands-on experience with cloud data platforms, data modeling at scale, and GPU-accelerated analytics pipelines carries significant weight. For H-1B and E-3 petitions, your degree field needs to align directly with the role description, so generic IT backgrounds without specialized data infrastructure experience are harder to support.
How long does the visa sponsorship process take for a Data Architect offer at NVIDIA?
Timeline depends on visa type. E-3 processing at a U.S. consulate abroad typically takes two to four weeks once your employer has a certified LCA from the DOL. H-1B standard processing at USCIS runs three to six months, though premium processing can reduce adjudication to 15 business days. PERM labor certification for Green Card sponsorship runs separately and can take one to two years before an I-140 petition is filed.